Question

我的spark r 1.6代码在spark2.0中不起作用，我做了必要的更改，比如创建sparkr.session()而不是sparkr.init()而没有传递sqlcontext参数等......

在下面的代码中，我将几个文件夹中的数据加载到数据框

在spark1.6中的read.df有效

sales <- read.df(sqlContext, path= "gs://dev.appspot.com/myData/2014/20*,gs://dev.appspot.com/myData/2015/20*", source = "com.databricks.spark.csv", delimiter
="\t")

spark2.0中的

read.df不起作用

sales <- read.df("gs://dev.appspot.com/myData/2014/20*,gs://dev.appspot.c
om/myData/2015/20*", source = "com.databricks.spark.csv", delimiter="\t")

以上行引发以下错误：

6/09/25 19:28:52 ERROR org.apache.spark.api.r.RBackendHandler: loadDF on org.apache.spark.sql.api.r.SQLUtils faile d Error in invokeJava(isStatic = TRUE, className, methodName, ...) :    org.apache.spark.sql.AnalysisException: **Path does not exist: gs://dev.appspot.com/myData/2014/ 20*,gs://dev.appspot.com/myData/2015/20***;
        at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:357)
        at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:350)
        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
        at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
        at scala.collection.immutable.List.foreach(List.scala:381)
        at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
        at scala.collection.immutable.List.flatMap(List.scala:344)
        at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:350)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
        at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:122 Calls: read.df -> dispatchFunc -> f -> callJStatic -> invokeJava Execution halted 16/09/25 19:28:53 INFO org.spark_project.jetty.server.ServerConnector: Stopped ServerConnector@148bd6fd{HTTP/1.1}{0 .0.0.0:4040}

Answer 1

spark2.0 read.df在读取文件名中带有“，”（逗号）的文件时失败。

我生成的数据文件有逗号文件名，类似于这些201448-0,004 201448-0,005 201448-0,006

在通过该问题进行调试的痛苦时间之后，当我从文件名中删除“，”时，它终于开始读取数据。

sparkr 2.0 read.df抛出路径不存在错误

1 个答案: